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Calibration and Uncertainty in Generative Systems

Meridian University

Published 15 May 2026 · 224 pages · English

ISBN 978-0-00-100005-0 · DOI 10.xxxx/ctm.bk.2026.0005

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Roussel, A. (2026). Calibration and Uncertainty in Generative Systems [Doctoral thesis, Meridian University]. CONTINUUM Books. doi:10.xxxx/ctm.bk.2026.0005

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About this book

Doctoral thesis on estimating and communicating uncertainty for text generation. It develops calibration methods for retrieval-augmented systems, studies how users interpret expressed confidence, and proposes evaluation protocols for uncertainty in open-ended outputs.

Keywords calibration · uncertainty · retrieval-augmented generation · thesis

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calibration-uncertainty-generative-systems.pdf

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Contents

  1. 1Introductionpp. 1–20
  2. 2Backgroundpp. 21–56
  3. 3Calibrating retrieval-augmented generationpp. 57–100
  4. 4Expressing confidence in languagepp. 101–142
  5. 5User studiespp. 143–180
  6. 6Evaluation protocolspp. 181–208
  7. 7Conclusionpp. 209–224

About the author

  • Amélie Roussel · Department of Computer Science, Meridian University, France

    Researches uncertainty estimation and calibration for generative systems.

How to cite

Roussel, A. (2026). Calibration and Uncertainty in Generative Systems [Doctoral thesis, Meridian University]. CONTINUUM Books. doi:10.xxxx/ctm.bk.2026.0005

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